metadata

license: apache-2.0
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT
    results: []

finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT

This model is a fine-tuned version of Helsinki-NLP/opus-mt-vi-en on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1783
Bleu: 37.7741

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.3717	1.0	186125	1.2371	35.8549
1.2926	2.0	372250	1.2113	36.7328
1.2505	3.0	558375	1.1954	37.0998
1.2025	4.0	744500	1.1847	37.5538
1.1853	5.0	930625	1.1783	37.7761

Framework versions

Transformers 4.22.1
Pytorch 1.10.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1